16 citations · 16 across the 1 of their papers we have counts for
3 papers
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
Matthieu Martin, Bruno Sciolla, Michaël Sdika +2
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS). This condition can develop into life-threatening hydrocepha…
Magnetic Resonance Spectroscopy Quantification using Deep Learning
Nima Hatami, Michaël Sdika, Hélène Ratiney
Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research and it has the unique capability to give a non-invasive access to the biochemical content (me…
Towards integrating spatial localization in convolutional neural networks for brain image segmentation
Pierre-Antoine Ganaye, Michaël Sdika, Hugues Benoit-Cattin
Semantic segmentation is an established while rapidly evolving field in medical imaging. In this paper we focus on the segmentation of brain Magnetic Resonance Images (MRI) into ce…